Students
NC State Students Host Exhibition to Celebrate W.E.B. Du Bois’ Visualization Work
The exhibition features a variety of research and data visualization inspired by Du Bois's work.
Graduation to Vocation: Katie Kolcusky is Using Data to Protect Nature
Upon graduation, MGIST student Katie Kolcusky will begin work as a solution engineer with Esri's National Government Team.
Congrats to Our May 2022 Graduates!
This semester, we celebrate the NC State graduation of 58 members of the Center for Geospatial Analytics community. Congratulations to all of our doctoral, professional master’s and graduate certificate students on their success!
Leveraging GIS Know-How for Custom Problem-Solving
During the Spring 2022 semester, our graduating professional master’s students worked with industry, government and nonprofit partners to apply their knowledge and skills to pressing geospatial challenges.
Celebrating Our Community: Third Annual CGA Awards
At our Awards Banquet on March 31, the Center for Geospatial Analytics honored students, faculty and staff for their achievements and presented the CGA Awards.
Rachel Porter Is NC State’s 2022 Esri Innovation Program Student of the Year
NC State joined a select group of universities worldwide when it became part of the Esri Innovation Program in 2017. Congratulations to our 2022 EIP Student of the Year: Fall 2021 MGIST graduate Rachel Porter!
During Droughts, Thirstier Mountain Forests Could Mean Less Water Downstream
Research led by Geospatial Analytics Ph.D. student Katie McQuillan finds increased water use by upstream mountain forests could leave less water for other forests, cities and wildlife during drought.
Deja Perkins Recognized as One of North Carolina’s Black STEM Leaders
Geospatial Analytics Ph.D. student Deja Perkins is co-organizer of #BlackBirdersWeek and the BlackAFinSTEM Collective.
Study: U.S. Flood Damage Risk Is Underestimated
A research team led by Geospatial Analytics Ph.D. student Elyssa Collins used artificial intelligence to predict where flood damage is likely to happen in the conterminous United States, suggesting that recent flood maps from the Federal Emergency Management Agency do not capture the full extent of flood risk.
Observing Landslide Events from Multi-Satellite Sensors
Geospatial Analytics Ph.D. student Raja Das is advancing the use of satellite imagery and machine learning to map the impacts of landslides and flooding, comparing the utility of different spatial resolutions and algorithms.